Wavelet analysis: mother wavelet selection methods
Wavelet analysis, being a popular time-frequency analysis method has been applied in
various fields to analyze a wide range of signals covering biological signals, vibration …
various fields to analyze a wide range of signals covering biological signals, vibration …
Application of mother wavelet functions for automatic gear and bearing fault diagnosis
J Rafiee, MA Rafiee, PW Tse - Expert systems with applications, 2010 - Elsevier
This paper introduces an automatic feature extraction system for gear and bearing fault
diagnosis using wavelet-based signal processing. Vibration signals recorded from two …
diagnosis using wavelet-based signal processing. Vibration signals recorded from two …
Modulation of phasic and tonic muscle synergies with reaching direction and speed
A d'Avella, L Fernandez, A Portone… - Journal of …, 2008 - journals.physiology.org
How the CNS masters the many degrees of freedom of the musculoskeletal system to control
goal-directed movements is a long-standing question. We have recently provided support to …
goal-directed movements is a long-standing question. We have recently provided support to …
Muscular and postural synergies of the human hand
EJ Weiss, M Flanders - Journal of neurophysiology, 2004 - journals.physiology.org
Because humans have limited ability to independently control the many joints of the hand, a
wide variety of hand shapes can be characterized as a weighted combination of just two or …
wide variety of hand shapes can be characterized as a weighted combination of just two or …
Wavelet basis functions in biomedical signal processing
During the last two decades, wavelet transform has become a common signal processing
technique in various areas. Selection of the most similar mother wavelet function has been a …
technique in various areas. Selection of the most similar mother wavelet function has been a …
Modular premotor drives and unit bursts as primitives for frog motor behaviors
CB Hart, SF Giszter - Journal of Neuroscience, 2004 - Soc Neuroscience
Spinal cord modularity impacts on our understanding of reflexes, development, descending
systems in normal motor control, and recovery from injury. We used independent component …
systems in normal motor control, and recovery from injury. We used independent component …
A hybrid groundwater level prediction model using signal decomposition and optimised extreme learning machine
The estimation and prediction of groundwater levels (GWLs) are key to water resource
management and directly linked to the socio-economic growth of sub-Saharan Africa. This …
management and directly linked to the socio-economic growth of sub-Saharan Africa. This …
Classification of surface EMG signal using relative wavelet packet energy
X Hu, Z Wang, X Ren - Computer methods and programs in biomedicine, 2005 - Elsevier
Features can be classified into interferential features and discriminable features according to
their contribution to pattern recognition. In this paper, a novel and simple method based on …
their contribution to pattern recognition. In this paper, a novel and simple method based on …
Single-trial EEG-EMG coherence analysis reveals muscle fatigue-related progressive alterations in corticomuscular coupling
Voluntary muscle fatigue is a progressive process. A recent study demonstrated muscle
fatigue-induced weakening of functional corticomuscular coupling measured by coherence …
fatigue-induced weakening of functional corticomuscular coupling measured by coherence …
Characterizing movement fluency in musical performance: Toward a generic measure for technology enhanced learning
Virtuosity in music performance is often associated with fast, precise, and efficient sound-
producing movements. The generation of such highly skilled movements involves complex …
producing movements. The generation of such highly skilled movements involves complex …